Software Engineer Lead

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities

• Developing Data Pipelines: Creating and maintaining optimal data pipeline architectures to ensure efficient data flow and processing
• Data Integration: Assembling large, complex data sets from various sources to meet business requirements
• Process Improvement: Identifying and implementing internal process improvements, such as automating manual processes and optimizing data delivery
• Infrastructure Building: Designing and building the infrastructure required for data extraction, transformation, and loading (ETL) using technologies like Databricks and Azure
• Collaboration: Working with stakeholders, including data scientists, analysts, and executives, to support their data infrastructure needs and resolve data-related technical issues
• Data Quality: Running tests to isolate errors and updating systems to accommodate changes in company needs
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
  
  

• Bachelor's degree in computer science, machine Learning, or related field or equivalent certification
• Experience with DBT Core
• AI experience to generate and prepare test cases using GitHub Copilot
• Health care domain knowledge
• Data Security: Knowledge of data security best practices, encryption, and access controls
• Medallion Architecture: Knowledge of the medallion architecture, which organizes data layers (Bronze, Silver, Gold) in a lakehouse
• Data Warehousing: Understanding of data warehousing concepts, including data storage, retrieval, and optimization
• Cloud Computing: Understanding of cloud platforms (e.g., Azure, AWS, GCP) and their data services
• Data Vault: Understanding of the Data Vault methodology for scalable and flexible data warehousing
• Programming Languages: Familiarity with languages like Python and Java for data analysis and application development
• Delta Lake: Familiarity with Delta Lake, an open-table format that combines data lake flexibility with ACID transactions
• ETL (Extract-Transform-Load): Expertise in ETL processes and tools like DBT (Data Build Tool) and DBT framework/packages
• Data Modeling: Proficiency in creating logical and physical data models to represent business requirements and system architecture
• Database Management Systems (DBMS): Proficiency in relational databases (e.g., Microsoft SQL Server) and NoSQL databases
• Azure Data Factory (ADF): Proficiency in using ADF for orchestrating data workflows, data movement, and transformation